Composite Brownian Walks Best Describe Livestock Mobility Patterns across Species
Composite Brownian Walks Best Describe Livestock Mobility Patterns across Species
复制标题
复合布朗行走最能描述跨物种的牲畜流动模式
DOI：
10.1101/055905
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
and Nobu INAZUMI
中科院分区：
文献类型：
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作者：
Takuto SAKAMOTO;Lloyd SANDERS;and Nobu INAZUMI
在动物运动和觅食的定量研究中，关于 Lévy 行走和相关随机模型与理解不同生物体运动模式的相关性一直存在争论。在这项研究中，我们收集并分析了大量追踪肯尼亚西北部不同牲畜物种活动的 GPS 日志。统计原理分析只发现了有限的证据来证明 Lévy 步行及其变体的无标度运动模式，尽管大多数跟踪的运动清楚地显示出相关时间持续时间内的超扩散行为。相反，该分析强烈支持复合指数分布（复合布朗行走）作为各种参数设置下牲畜运动轨迹的最佳描述。此外，在模型选择的替代标准下，这种支持已经变得势不可挡并且几乎普遍存在。这些结果阐明了牲畜空间行为的多尺度和多模式性质。它们对相关文献也具有更广泛的理论和实证意义。
In quantitative studies on animal movements and foraging, there has been ongoing debate over the relevance of Lévy walk and related stochastic models to understanding mobility patterns of diverse organisms. In this study, we collected and analyzed a large number of GPS logs that tracked the movements of different livestock species in northwestern Kenya. Statistically principled analysis has only found limited evidence for the scale-free movement patterns of the Lévy walk and its variants, even though most of the tracked movements clearly show super-diffusive behavior within the relevant temporal duration. Instead, the analysis has given strong support to composite exponential distributions (composite Brownian walks) as the best description of livestock movement trajectories in a wide array of parameter settings. Furthermore, this support has become overwhelming and near universal under an alternative criterion for model selection. These results illuminate the multi-scale and multi-modal nature of livestock spatial behavior. They also have broader theoretical and empirical implications for the related literature.